Recent Developments in Sample Preparation and Analysis in Mass Spectrometry-Based Metabolomics

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4707

Special Issue Editors


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Guest Editor
1. N. N. Vorozhtsov Novosibirsk Institute of Organic Chemistry, Novosibirsk, Russia
2. Department of Medicinal Chemistry, Novosibirsk State University, Novosibirsk, Russia
Interests: liquid chromatography; mass spectrometry; bioanalysis; metabolomics; method development and validation; pharmacokinetics
Special Issues, Collections and Topics in MDPI journals
CNRS, CEISAM UMR CNRS 6230, University of Nantes, F-44000 Nantes, France
Interests: stable isotopes; metabolism; cancer biomarkers; isotopomics; analytical chemistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Currently, metabolomic studies of living organisms can shed light on intrinsic processes that provide clues to understanding possible mechanisms of pathology development and finding disease biomarkers. Based on metabolomic screening data, new statistical models are being created to improve diagnosis.

Metabolomics studies can be performed on different biomatrices such as whole blood, plasma, serum, urine, and tissue samples. As all these matrices have different biological properties, appropriate sample preparation protocols should be used to prepare them. There are also different approaches for screening metabolites by gas/liquid chromatography or capillary electrophoresis coupled to mass spectrometry.

In this Special Issue, we would like to collect the current advances in sample preparation and/or analysis for screening metabolites of different classes and different origins. Both scientific articles and reviews on these topics are welcome.

Dr. Artem D. Rogachev
Dr. Illa Tea
Guest Editors

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Keywords

  • metabolite profiling
  • sample preparation
  • sample analysis
  • liquid chromatography
  • gas chromatography
  • mass spectrometry

Published Papers (3 papers)

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19 pages, 3201 KiB  
Article
A GC-MS Chemotaxonomic Study on Lipophilic Compounds in the Bark of S. aucuparia subsp. sibirica Trees from the Population Growing in Akademgorodok, Novosibirsk (Russia)
by Asya R. Vasilieva, Nikolay M. Slynko, Ljudmila E. Tatarova, Vadim M. Efimov, Leonid V. Kuibida, Sergey V. Asbaganov and Sergey E. Peltek
Metabolites 2023, 13(6), 768; https://doi.org/10.3390/metabo13060768 - 19 Jun 2023
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Abstract
Determination of chemotypes and of their role in the polymorphism of populations is an important field in the research on secondary metabolites of plants. In the present study, by gas chromatography coupled with mass spectrometry, the composition of bark extracts from rowan S. [...] Read more.
Determination of chemotypes and of their role in the polymorphism of populations is an important field in the research on secondary metabolites of plants. In the present study, by gas chromatography coupled with mass spectrometry, the composition of bark extracts from rowan S. aucuparia subsp. sibirica was determined for 16 trees growing within Akademgorodok of Novosibirsk, with bark samples collected both in winter and summer. Among 101 fully or partially identified metabolites, there are alkanes, alkenes, linear alcohols, fatty acids and their derivatives, phenols and their derivatives, prunasin and its parent and derivative compounds, polyprenes and their derivatives, cyclic diterpenes, and phytosterols. These compounds were grouped according to their biosynthesis pathways. Cluster analysis revealed two groups among the bark samples collected in winter and three groups among bark samples collected in summer. The key determinants of this clustering are the biosynthesis of metabolites via the cyanogenic pathway (especially potentially toxic prunasin) and their formation via the phytosterol pathway (especially potentially pharmacologically useful lupeol). It follows from the results that the presence of chemotypes having sharply different profiles of metabolites in a population from a small geographic area invalidates the practice of general sampling to obtain averaged data when a population is described. From the standpoint of possible industrial use or plant selection based on metabolomic data, it is possible to select specific sets of samples containing a minimal amount of potentially toxic compounds and the largest amount of potentially useful substances. Full article
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16 pages, 875 KiB  
Article
Stability of Metabolomic Content during Sample Preparation: Blood and Brain Tissues
by Maxim V. Fomenko, Lyudmila V. Yanshole and Yuri P. Tsentalovich
Metabolites 2022, 12(9), 811; https://doi.org/10.3390/metabo12090811 - 29 Aug 2022
Cited by 7 | Viewed by 1607
Abstract
Thermal and enzymatic reactions can significantly change the tissue metabolomic content during the sample preparation. In this work, we evaluated the stability of metabolites in human whole blood, serum, and rat brain, as well as in metabolomic extracts from these tissues. We measured [...] Read more.
Thermal and enzymatic reactions can significantly change the tissue metabolomic content during the sample preparation. In this work, we evaluated the stability of metabolites in human whole blood, serum, and rat brain, as well as in metabolomic extracts from these tissues. We measured the concentrations of 63 metabolites in brain and 52 metabolites in blood. We have shown that metabolites in the extracts from biological tissues are stable within 24 h at 4 °C. Serum and whole blood metabolomes are also rather stable, changes in metabolomic content of the whole blood homogenate become apparent only after 1–2 h of incubation at 4 °C, and become strong after 24 h. The most significant changes correspond to energy metabolites: the concentrations of ATP and ADP decrease fivefold, and the concentrations of NAD, NADH, and NADPH decrease below the detectable level. A statistically significant increase was observed for AMP, IMP, hypoxanthine, and nicotinamide. The brain tissue is much more metabolically active than human blood, and significant metabolomic changes occur already within the first several minutes during the brain harvest and sample homogenization. At a longer timescale (hours), noticeable changes were observed for all classes of compounds, including amino acids, organic acids, alcohols, amines, sugars, nitrogenous bases, nucleotides, and nucleosides. Full article
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9 pages, 935 KiB  
Technical Note
Some Lessons Learned on the Impact of the Storage Conditions, Syringe Wash Solvent, and the Way of GC-MS Injection on the Reproducibility of Metabolomic Studies
by Ilya Kurbatov, Olga Kiseleva, Viktoriia Arzumanian, Georgii Dolgalev and Ekaterina Poverennaya
Metabolites 2023, 13(1), 75; https://doi.org/10.3390/metabo13010075 - 03 Jan 2023
Cited by 2 | Viewed by 1506
Abstract
Metabolomics based on two-dimensional gas chromatography coupled with mass spectrometry is making high demands on accuracy at all stages of sample preparation, up to the storage and injection into the analytical system. In high sample flow conditions, good repeatability in peak areas and [...] Read more.
Metabolomics based on two-dimensional gas chromatography coupled with mass spectrometry is making high demands on accuracy at all stages of sample preparation, up to the storage and injection into the analytical system. In high sample flow conditions, good repeatability in peak areas and a list of detectable metabolites is sometimes challenging to obtain. In this research, we successfully obtained good repeatability for the peak areas of MSFTA-derivatives of 29 core blood plasma metabolites. Six different strategies of storage and injection were investigated and evaluated for the reproducibility of the obtained data. As the essential factors, we considered popular GC-MS syringe washing solvents (methanol and pyridine); storage conditions (freshly prepared samples and stored for 24 h in ambient temperature or in the refrigerator); scheme of injection (one injection per intact vial or three sequential injections per vial). Our GC×GC-MS results demonstrated that the usage of pyridine as a syringe wash solvent and triple injecting the sample from the same vial was the most appropriate for minimizing the coefficient of variation (CV) of the results obtained (in general, <10%). The prolonged storage of samples does not have a noticeable effect on the change in the areas of chromatographic peaks of metabolites, although it reduces CV in some cases. These storage and injection recommendations can be used in future study protocols for the GC×GC-MS analysis of blood plasma. Full article
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